4 citations · 15 across the 7 of their papers we have counts for
13 papers · 1 filter
On boosting the power of Chatterjee's rank correlation
Zhexiao Lin, Fang Han
Chatterjee (2021)'s ingenious approach to estimating a measure of dependence first proposed by Dette et al. (2013) based on simple rank statistics has quickly caught attention. Thi…
On a phase transition in general order spline regression
Yandi Shen, Qiyang Han, Fang Han
In the Gaussian sequence model in , we study the fundamental limit of approximating the signal by a class of (generalized) s…
Exponential inequalities for dependent V-statistics via random Fourier features
Yandi Shen, Fang Han, Daniela Witten
We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via a novel kernel expansion based on random Fourier featu…
Distribution-free consistent independence tests via center-outward ranks and signs
Hongjian Shi, Mathias Drton, Fang Han
This paper investigates the problem of testing independence of two random vectors of general dimensions. For this, we give for the first time a distribution-free consistent test. O…
On rank estimators in increasing dimensions
Yanqin Fan, Fang Han, Wei Li +1
The family of rank estimators, including Han's maximum rank correlation (Han, 1987) as a notable example, has been widely exploited in studying regression problems. For these estim…
Probability inequalities for high dimensional time series under a triangular array framework
Fang Han, Weibiao Wu
Study of time series data often involves measuring the strength of temporal dependence, on which statistical properties like consistency and central limit theorem are built. Histor…